Umberto Mele

Senior Quant Researcher at BKW AG

Lugano, Ticino, Switzerland
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Summary

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Senior
🎓
Top School
Umberto Mele is an AI & Data Scientist with eight years of experience applying advanced machine learning to energy systems, currently developing production and consumption forecasting models at BKW AG in Switzerland. A PhD candidate at IDSIA/USI, he bridged deep learning and reinforcement learning with combinatorial optimization—designing heuristic solvers for TSP—which gives him a rare mix of theoretical rigor and practical algorithm design. His work spans diffusion models for consumption profiling, graph- and ontology-based RAG systems, and exploratory AI approaches for price and weather prediction to support the energy transition. He combines strong academic credentials (PhD research, top-ranked Master’s in Data Science) with hands-on industry delivery in regulated utility settings. Based in Lugano, he leverages domain knowledge of climate-weather-energy interactions to translate novel AI methods into operational forecasts. An interesting thread through his career is using cutting-edge generative and RL techniques not just for novelty but to make energy planning more robust and interpretable.
code8 years of coding experience
job2 years of employment as a software developer
bookSummer school, Computer Science, Summer school, Computer Science at Eidgenössische Technische Hochschule Zürich
bookCorso di Master Universitario di 2° livello-CMU2 Finanza e servizi di gestione finanziaria, Corso di Master Universitario di 2° livello-CMU2 Finanza e servizi di gestione finanziaria at MeliusForm Business School
bookDoctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at USI Università della Svizzera italiana
bookMaster's degree Data Science, Master's degree Data Science at Sapienza Università di Roma
languagesItalian, Portuguese, English

Programming languages (1)

Ruby

Github contributions (5)

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Contributions:42 pushes, 1 branch in 4 years 6 months
Contributions:30 commits, 28 pushes, 1 branch in 4 months
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